Kronecker Graphs: In [1]}, a generative model that can effectively model the structure of many large real-world networks was presented by recursively applying the Kronecker product on a base graph that can be estimated efficiently. We can consequently leverage our framework to sample graph signals that are supported on a large real-world networks with a substantial reduction in the sample and computational complexity.
